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Commerce GPT – Chat with LLMs to find products in your store

Hacker News

Commerce GPT – Chat with LLMs to find products in your store

I’ve been experimenting with blending AI chat into e-commerce workflows . Commerce GPT is a proof-of-concept for a quick "quake-style" chat window that adds AI-powered search to your store. Why? Typing (or speaking) multi-criteria queries to find products to buy can be faster and more intuitive than navigating menus, e.g. searching for “yellow bag under $100” or "extra virgin olive oil with high polyphenol count over 400 mg" Built with Next.js + AI SDK and in the demo it integrates with OpenAI GPT-4o to process product data (thanks to AI SDK switching providers is straightforward) It's still a work-in-progress, but I'd love your feedback! Could this be useful? What features or improvements would you like to see? Demo: https://demo.yournextstore.com (click the top bar) Code: https://github.com/yournextstore/yournextstore

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Product HuntOn track for Day 1 leaderboard · Strong signals: openai, code, open · Missing: mac, agents, macos
87%87% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
62%62% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: intuitive · Missing: plus, platform, reviews
43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
33%33% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide · Missing: https docs, excited, just released
30%30% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency
2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

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